Felipe Maia Carvalhal

Spearheaded end-to-end data intelligence projects to modernize low-maturity data ecosystems and enable data-driven decision-making. Designed and implemented scalable data architectures and automated Python ETL/ELT pipelines, reducing manual processing time by an average of 7 hours per week per client.

Led a priority strategic program at Brazil's largest food-tech platform, targeting a high-value user segment. Co-architected data pipelines and developed advanced analytics solutions in Databricks, driving +15% incremental EBITDA on campaigns and scaling operations across 20+ metro regions.

Engineered data models, SQL views, and executive tracking dashboards for the core category within the e-commerce channel. Delivered weekly performance analytics to identify sales anomalies and trend shifts, driving a +20% GMV surge during key launches.

Engineered data pipelines and reporting, establishing core analytics infrastructure for B2B/D2C channels. Managed product P&L analytics across 6 LatAm markets, leading monthly financial reviews with Sales and S&OP leadership.

Bachelor's Degree in International Relations from the Federal University of ABC, completed in 2024.

Bachelor's Degree in Science and Humanities from the Federal University of ABC, completed in 2023.

Completed the Google Advanced Data Analytics Professional Certificate.

Completed the Applied Python Data Engineering Specialization from Duke University.

Completed the Data Visualization Specialization from Johns Hopkins University.

Completed courses in Advanced SQL Database, Complete SQL for Data Analysis, and Python/Excel Specialist on Udemy.